Noah Golowich tells us about his research into the theory of decision making and learning in games, which have applications in Multi-Agent Reinforcement Learning.
AI is data-hungry and needs thousands of images to learn how to detect tumours or product defects, but often very few are available. A new method aims to change that.
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.